Das / Pattnaik / Rautaray Progress in Computing, Analytics and Networking

Proceedings of ICCAN 2019
1. Auflage 2020
ISBN: 978-981-15-2414-1
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 1119, 669 Seiten, eBook

Reihe: Advances in Intelligent Systems and Computing

This book focuses on new and original research ideas and findings in three broad areas: computing, analytics, and networking and their potential applications in the various domains of engineering – an emerging, interdisciplinary area in which a wide range of theories and methodologies are being investigated and developed to tackle complex and challenging real-world problems. The book also features keynote presentations and papers from the International Conference on Computing Analytics and Networking (ICCAN 2019), which offers an open forum for scientists, researchers and technocrats in academia and industry from around the globe to present and share state-of-the-art concepts, prototypes, and innovative research ideas in diverse fields. Providing inspiration for postgraduate students and young researchers working in the field of computer science & engineering, the book also discusses hardware technologies and future communication technologies, making it useful for those in the field of electronics.

Zielgruppe

Research

Autoren/Hrsg.

Das, Himansu

Pattnaik, Prasant Kumar

Rautaray, Siddharth Swarup

Li, Kuan-Ching

Inhaltsverzeichnis

Implementation of Session to Mobility Ratio Based Mobility Management Scheme for Wireless Mesh Network to Handle Internet and Intranet Packets.- Peer Analysis of “Sanguj” with Other Sanskrit Morphological Analyzers.- Optimizing Performance of Text Searching using CPU and GPUs.- Partial Offloading for Fog Computing Using P2P Based File Sharing Protocol.- Analysis of Proactive Simulated Topology Reconfiguration for WDM Networks.- Industrial Automation: Case Study - Vision Based Live Object Monitoring System.- Control of Home Appliances and Projector by Smart application using SEAP Protocol.- Maize Leaf Disease Detection and Classification using Machine Learning Algorithms.

Über Autor(innen)

Himansu Das  is an as Assistant Professor at the School of Computer Engineering, KIIT University, Bhubaneswar, India. He holds B. Tech and M. Tech degrees from Biju Pattnaik University of Technology (BPUT), Odisha, India. He has published several research papers in various international journals and conferences and has also edited several international books. He is a member of the editorial and review boards of a number of journals and conferences and has served as the organizing chair, publicity chair and as a member of the program committees of several national and international conferences. He is also associated with various educational and research societies like IACSIT, ISTE, UACEE, CSI, IET, IAENG, and ISCA. His research interests include grid computing, cloud computing, and machine learning. Prasant Kumar Pattnaik , PhD (Computer Science), fellow of the IETE, and senior member of the IEEE, is a Professor at the School of Computer Engineering, KIITUniversity, Bhubaneswar. He has more than a decade of teaching and research experience, and has published several papers in peer-reviewed international journals and conferences. His areas of specialization are mobile computing, cloud computing, brain computer interface and privacy preservation. He has also edited various volumes for Springer and IGI Global. Siddharth Swarup Rautaray , PhD (Information Technology), and member of the IET, IEEE, ACM is an Assistant Professor at the School of Computer Engineering, KIIT University, Bhubaneswar. His research interests include big data analytics, human computer interaction and image processing. He has published research papers in various international journals and conferences. He has been an organizing chair/committee member for a number of international conferences, workshops and symposiums, and a reviewer for various journals and conferences. Kuan-Ching Li  is currently a Distinguished Professor at Providence University, Taiwan. He is a recipient of awards and funding support from several agencies and industrial companies, as he also received distinguished chair professorships from universities in China and other countries. Besides publication in refereed journals and top conference papers, he is co-author/co-editor of more than 25 technical professional books published by CRC Press/Taylor & Francis, Springer, and McGraw-Hill. Dr. Li’s research interests include GPU/manycore computing, Big Data, and cloud. He is a senior member of the IEEE and a fellow of the IET.